Bathymetry time series using high spatial resolution satellite images

The use of the new generation of remote sensors, such as echo sounders and Global Navigation Satellite System (GNSS) receivers with differential correction installed in a drone, allows the acquisition of high-precision data in areas of shallow water, as in the case of the channel of the Encañizadas...

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Autores: Erena Arrabal, Manuel, Domínguez Gómez, José Antonio, Atenza Juárez, Joaquín Francisco, García Galiano, Sandra Gabriela, Soria García, Juan Miguel, Pérez Ruzafa, Ángel
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Institución:Universidad Politécnica de Cartagena(UPCT)
Repositorio:Repositorio Digital UPCT
OAI Identifier:oai:repositorio.upct.es:10317/10330
Acceso en línea:http://hdl.handle.net/10317/10330
https://www.mdpi.com/2073-4441/12/2/531
Access Level:acceso abierto
Palabra clave:Mar Menor
Spatio-temporal variability
Pleiades-1
Ingeniería Hidráulica
3305.15 Ingeniería Hidráulica
id ES_4ae9ced7e6e65f4e51477d4d54f17b15
oai_identifier_str oai:repositorio.upct.es:10317/10330
network_acronym_str ES
network_name_str España
repository_id_str
spelling Bathymetry time series using high spatial resolution satellite imagesErena Arrabal, ManuelDomínguez Gómez, José AntonioAtenza Juárez, Joaquín FranciscoGarcía Galiano, Sandra GabrielaSoria García, Juan MiguelPérez Ruzafa, ÁngelMar MenorSpatio-temporal variabilityPleiades-1Ingeniería Hidráulica3305.15 Ingeniería HidráulicaThe use of the new generation of remote sensors, such as echo sounders and Global Navigation Satellite System (GNSS) receivers with differential correction installed in a drone, allows the acquisition of high-precision data in areas of shallow water, as in the case of the channel of the Encañizadas in the Mar Menor lagoon. This high precision information is the first step to develop the methodology to monitor the bathymetry of the Mar Menor channels. The use of high spatial resolution satellite images is the solution for monitoring many hydrological changes and it is the basis of the three-dimensional (3D) numerical models used to study transport over time, environmental variability, and water ecosystem complexity.MDPI202120212020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10317/10330https://www.mdpi.com/2073-4441/12/2/531reponame:Repositorio Digital UPCTinstname:Universidad Politécnica de Cartagena(UPCT)InglésAtribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:repositorio.upct.es:10317/103302026-05-15T06:39:02Z
dc.title.none.fl_str_mv Bathymetry time series using high spatial resolution satellite images
title Bathymetry time series using high spatial resolution satellite images
spellingShingle Bathymetry time series using high spatial resolution satellite images
Erena Arrabal, Manuel
Mar Menor
Spatio-temporal variability
Pleiades-1
Ingeniería Hidráulica
3305.15 Ingeniería Hidráulica
title_short Bathymetry time series using high spatial resolution satellite images
title_full Bathymetry time series using high spatial resolution satellite images
title_fullStr Bathymetry time series using high spatial resolution satellite images
title_full_unstemmed Bathymetry time series using high spatial resolution satellite images
title_sort Bathymetry time series using high spatial resolution satellite images
dc.creator.none.fl_str_mv Erena Arrabal, Manuel
Domínguez Gómez, José Antonio
Atenza Juárez, Joaquín Francisco
García Galiano, Sandra Gabriela
Soria García, Juan Miguel
Pérez Ruzafa, Ángel
author Erena Arrabal, Manuel
author_facet Erena Arrabal, Manuel
Domínguez Gómez, José Antonio
Atenza Juárez, Joaquín Francisco
García Galiano, Sandra Gabriela
Soria García, Juan Miguel
Pérez Ruzafa, Ángel
author_role author
author2 Domínguez Gómez, José Antonio
Atenza Juárez, Joaquín Francisco
García Galiano, Sandra Gabriela
Soria García, Juan Miguel
Pérez Ruzafa, Ángel
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Mar Menor
Spatio-temporal variability
Pleiades-1
Ingeniería Hidráulica
3305.15 Ingeniería Hidráulica
topic Mar Menor
Spatio-temporal variability
Pleiades-1
Ingeniería Hidráulica
3305.15 Ingeniería Hidráulica
description The use of the new generation of remote sensors, such as echo sounders and Global Navigation Satellite System (GNSS) receivers with differential correction installed in a drone, allows the acquisition of high-precision data in areas of shallow water, as in the case of the channel of the Encañizadas in the Mar Menor lagoon. This high precision information is the first step to develop the methodology to monitor the bathymetry of the Mar Menor channels. The use of high spatial resolution satellite images is the solution for monitoring many hydrological changes and it is the basis of the three-dimensional (3D) numerical models used to study transport over time, environmental variability, and water ecosystem complexity.
publishDate 2020
dc.date.none.fl_str_mv 2020
2021
2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10317/10330
https://www.mdpi.com/2073-4441/12/2/531
url http://hdl.handle.net/10317/10330
https://www.mdpi.com/2073-4441/12/2/531
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv Atribución-NoComercial-SinDerivadas 3.0 España
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial-SinDerivadas 3.0 España
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositorio Digital UPCT
instname:Universidad Politécnica de Cartagena(UPCT)
instname_str Universidad Politécnica de Cartagena(UPCT)
reponame_str Repositorio Digital UPCT
collection Repositorio Digital UPCT
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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